Exact risk analysis of wavelet spectrum thresholding rules. - Pavel Rajmic (ICECS, 2003)

Method for Real-Time Signal Processing Via Wavelet Transform. - Pavel Rajmic (NOLISP, 2005)

Fast lifting wavelet transform and its implementation in Java. - Jan Maly 002; Pavel Rajmic (PWC, 2007)

Optimized discrete wavelet transform to real-time digital signal processing. - Jan Vlach; Pavel Rajmic; Jiri Prinosil; Josef Vyoral; Ivan Mica (PWC, 2007)

Theoretical Analysis of EDCA Medium Access-Control Method in Simplified Network Environment. - Pavel Rajmic; Dan Komosny; Karol Molnar (ICN, 2009)

Segmented computation of wavelet transform via lifting scheme. - Zdenek Prusa; Pavel Rajmic (TSP, 2011)

Goertzel algorithm generalized to non-integer multiples of fundamental frequency. - Petr Sysel; Pavel Rajmic (EURASIP J. Adv. Signal Process., 2012)

Computational cost of Chirp Z-transform and Generalized Goertzel algorithm. - Pavel Rajmic; Zdenek Prusa; Christoph Wiesmeyr (EUSIPCO, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Discrete Wavelet Transform of Finite signals: detailed Study of the Algorithm. - Pavel Rajmic; Zdenek Prusa (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Generalized Goertzel algorithm for computing the natural frequencies of cantilever beams. - Darian M. Onchis; Pavel Rajmic (Signal Process., 2014)

Time-frequency methods for condition based maintenance and modal analysis. - Darian M. Onchis; Ruqiang Yan 001; Pavel Rajmic (Signal Process., 2014)

Acceleration of Perfusion MRI Using Locally Low-Rank Plus Sparse Model. - Marie Danková; Pavel Rajmic; Radovan Jirík (LVA/ICA, 2015)

Acceleration of audio inpainting by support restriction. - Pavel Rajmic; Hana Bartlova; Zdenek Prusa; Nicki Holighaus (ICUMT, 2015)

Simplified Probabilistic Modelling and Analysis of Enhanced Distributed Coordination Access in IEEE 802.11. - Pavel Rajmic; Jiri Hosek; Michal Fusek; Sergey D. Andreev; Július Stecík (Comput. J., 2015)

Piecewise-polynomial curve fitting using group sparsity. - Michaela Novosadová; Pavel Rajmic (ICUMT, 2016)

On the limitation of convex optimization for sparse signal segmentation. - Pavel Rajmic; Michaela Novosadová (TSP, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Discrete Wavelet Transforms in the Large Time-Frequency Analysis Toolbox for MATLAB/GNU Octave. - Zdenek Prusa; Peter L. Søndergaard; Pavel Rajmic (ACM Trans. Math. Softw., 2016)

Dynamic magnetic resonance imaging using compressed sensing with multi-scale low rank penalty. - Marie Mangová; Pavel Rajmic; Radovan Jirík (TSP, 2017)

Piecewise-Polynomial signal segmentation using reweighted convex optimization. - Michaela Novosadová; Pavel Rajmic (TSP, 2017)

Fast reconstruction of sparse relative impulse responses via second-order cone programming. - Pavel Rajmic; Zbynek Koldovský; Marie Danková (WASPAA, 2017)

Piecewise-polynomial signal segmentation using convex optimization. - Pavel Rajmic; Michaela Novosadová; Marie Danková (Kybernetika, 2017)

Toward High-Quality Real-Time Signal Reconstruction From STFT Magnitude. - Zdenek Prusa; Pavel Rajmic (IEEE Signal Process. Lett., 2017)

Revisiting Synthesis Model in Sparse Audio Declipper. - Pavel Záviska; Pavel Rajmic; Zdenek Prusa; Vítezslav Veselý (LVA/ICA, 2018)

Image Edges Resolved Well When Using an Overcomplete Piecewise-Polynomial Model. - Michaela Novosadová; Pavel Rajmic (ICSPCS, 2018)

Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus. - Rene Repp; Pavel Rajmic; Florian Meyer; Franz Hlawatsch (SSP, 2018)

Introducing SPAIN (SParse Audion INpainter). - Ondrej Mokrý; Pavel Záviska; Pavel Rajmic; Vítezslav Veselý (CoRR, 2018)

Introducing SPAIN (SParse Audio INpainter). - Ondrej Mokrý; Pavel Záviska; Pavel Rajmic; Vítezslav Veselý (EUSIPCO, 2019)

A Proper Version of Synthesis-based Sparse Audio Declipper. - Pavel Záviska; Pavel Rajmic; Ondrej Mokrý; Zdenek Prusa (ICASSP, 2019)

Psychoacoustically Motivated Audio Declipping Based on Weighted l1 Minimization. - Pavel Záviska; Pavel Rajmic; Jiri Schimmel (TSP, 2019)

A New Generalized Projection and Its Application to Acceleration of Audio Declipping. - Pavel Rajmic; Pavel Záviska; Vítezslav Veselý; Ondrej Mokrý (Axioms, 2019)

Psychoacoustically Motivated Declipping Based on Weighted l1 Minimization. - Pavel Záviska; Pavel Rajmic; Jiri Schimmel (CoRR, 2019)

Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising. - Michaela Novosadová; Pavel Rajmic; Michal Sorel (EURASIP J. Adv. Signal Process., 2019)

Sparse and Cosparse Audio Dequantization Using Convex Optimization. - Pavel Záviska; Pavel Rajmic (TSP, 2020)

Flexible framework for audio restoration. - Ondrej Mokrý; Pavel Rajmic; Pavel Záviska (CoRR, 2020)

Audio Inpainting: Revisited and Reweighted. - Ondrej Mokrý; Pavel Rajmic (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Audio Dequantization Using (Co)Sparse (Non)Convex Methods. - Pavel Záviska; Pavel Rajmic; Ondrej Mokrý (ICASSP, 2021)

Editorial: Reconstruction of Audio From Incomplete or Highly Degraded Observations. - Pavel Rajmic; Nancy Bertin; Valentin Emiya; Nicki Holighaus; Alexey Ozerov (IEEE J. Sel. Top. Signal Process., 2021)

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods. - Pavel Záviska; Pavel Rajmic; Alexey Ozerov; Lucas Rencker (IEEE J. Sel. Top. Signal Process., 2021)

Approximal operator with application to audio inpainting. - Ondrej Mokrý; Pavel Rajmic (Signal Process., 2021)

Audio Declipping with (Weighted) Analysis Social Sparsity. - Pavel Záviska; Pavel Rajmic (TSP, 2022)

Analysis Social Sparsity Audio Declipper. - Pavel Záviska; Pavel Rajmic (CoRR, 2022)

Audio declipping performance enhancement via crossfading. - Pavel Záviska; Pavel Rajmic; Ondrej Mokrý (Signal Process., 2022)

Multiple Hankel matrix rank minimization for audio inpainting. - Pavel Záviska; Pavel Rajmic; Ondrej Mokrý (TSP, 2023)

Likelihood Consensus 2.0: Reducing Interagent Communication in Distributed Bayesian Target Tracking. - Erik Sausa; Pavel Rajmic; Franz Hlawatsch (ICASSP, 2024)

Simultaneous DCE-DSC-MRI Using Low-Rank-Regularized Model-Based Reconstruction of DCE and DSC Components. - Marie Mangová; Pavel Rajmic; Ondrej Macícek; Denisa Hývlová; Radovan Jirík (ISBI, 2024)

Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation. - Ondrej Mokrý; Jirí Vitous; Pavel Rajmic; Radovan Jirík (ISBI, 2024)

Plug-and-Play Audio Restoration with Diffusion Denoiser. - Michal Svento; Pavel Rajmic; Ondrej Mokrý (IWAENC, 2024)

On the Use of Autoregressive Methods for Audio Inpainting. - Ondrej Mokrý; Pavel Rajmic (CoRR, 2024)

Janssen 2.0: Audio Inpainting in the Time-frequency Domain. - Ondrej Mokrý; Peter Balusík; Pavel Rajmic (CoRR, 2024)

Regularized autoregressive modeling and its application to audio signal declipping. - Ondrej Mokrý; Pavel Rajmic (CoRR, 2024)

Distributed Bayesian target tracking with reduced communication: Likelihood consensus 2.0. - Erik Sausa; Pavel Rajmic; Franz Hlawatsch (Signal Process., 2024)

Unsupervised Estimation of Nonlinear Audio Effects: Comparing Diffusion-Based and Adversarial approaches. - Eloi Moliner; Michal Svento; Alec Wright; Lauri Juvela; Pavel Rajmic; Vesa Välimäki (CoRR, 2025)